Merge pull request #24 from tscnlab/dev

README.Rmd

@@ -44,7 +44,7 @@ Personalized luminous exposure data is progressively gaining importance in vario
 
 ##### Please note that LightLogR is work in progress! If you are interested in the project and want to know more, you can subscribe to the [LightLogR mailing list](https://lists.lrz.de/mailman/listinfo/lightlogr-users). If you find a bug, please open an issue on the [GitHub repository](https://github.com/tscnlab/LightLogR/issues).
 
-##### To maximize LightLogRs utility, we want to hear from you! What features would you like to see, what are common issues you face when working with wearable data, and what kind of analysis are you performing? Let us know in the [LightLogR community survey](https://lists.lrz.de/mailman/listinfo/lightlogr-users)!
+##### To maximize LightLogRs utility, we want to hear from you! What features would you like to see, what are common issues you face when working with wearable data, and what kind of analysis are you performing? Let us know in the [LightLogR community survey](https://de.surveymonkey.com/r/3LL9NKQ)!
 
 Have a look at the **Example** section down below to get started, or dive into the [Articles](https://tscnlab.github.io/LightLogR/articles/index.html) to get more in depth information about how to work with the package and generate images such as the one above, import data, visualization, and metric calculation.
 

README.md

@@ -52,7 +52,7 @@ package aims to provide tools for:
 
 ##### Please note that LightLogR is work in progress! If you are interested in the project and want to know more, you can subscribe to the [LightLogR mailing list](https://lists.lrz.de/mailman/listinfo/lightlogr-users). If you find a bug, please open an issue on the [GitHub repository](https://github.com/tscnlab/LightLogR/issues).
 
-##### To maximize LightLogRs utility, we want to hear from you! What features would you like to see, what are common issues you face when working with wearable data, and what kind of analysis are you performing? Let us know in the [LightLogR community survey](https://lists.lrz.de/mailman/listinfo/lightlogr-users)!
+##### To maximize LightLogRs utility, we want to hear from you! What features would you like to see, what are common issues you face when working with wearable data, and what kind of analysis are you performing? Let us know in the [LightLogR community survey](https://de.surveymonkey.com/r/3LL9NKQ)!
 
 Have a look at the **Example** section down below to get started, or
 dive into the